Alan Arokiam

Alan Arokiam is a Senior Lecturer at the School of Computing, Engineering and Physical Sciences, University of Greenwich. His research focuses on manufacturing simulation, energy efficiency in industrial systems, and materials science. He has expertise in discrete event simulation, ERP implementation, and smart manufacturing systems design. His work bridges theoretical computational modeling with practical industrial applications, addressing challenges in quality management, compressor performance optimization, and legacy factory energy systems.

His research interests span atomic-scale simulations of material behavior (e.g., Cu-Fe alloy interactions) to large-scale industrial processes. Notable contributions include energy toolkit development for manufacturing and closed-loop quality management frameworks. He has published extensively on topics ranging from nuclear materials irradiation effects to SME ERP adoption strategies. His interdisciplinary approach integrates computer science, engineering, and materials science to solve real-world operational and environmental challenges.

Key research trends in his articles include: 1) Energy efficiency optimization across scales, 2) Simulation-driven decision-making in manufacturing, 3) Material defect analysis under irradiation, 4) ERP-CSF alignment in SMEs. While no specific awards are listed, his work demonstrates sustained contributions to both theoretical and applied engineering domains.

No student advisees or grant details are explicitly mentioned in the provided information. His academic affiliation suggests involvement in teaching and research supervision within engineering disciplines.